The Subjective Experience of Early Onset Alzheimer’s Disease: Using Online Communities to Combat Social Isolation.
Bibliographic record
Abstract
This thesis explores the ways people with early onset Alzheimer’s disease\n(EOAD) use online communities to address social isolation. Netnography and\ninterpretive description directed the qualitative analysis of archived discussion threads\n(n=569) within an online forum involving 40 participants with EOAD.\n\nOnline interaction fostered social connection and redefined life following\ndiagnosis. Textual discourse focused on normalizing the experience of living with\nEOAD, promoting a community culture of belonging, and developing coping\nmechanisms intended to enhance self-care and preserve independence. Members found\npurpose in using the forum as a platform to empower users, or through learning about\nadvocacy roles outside of the online environment. Technological concerns and caregiver\ninvolvement surfaced as potential factors impacting online interaction.\n\nOverarching findings were conceptualized as benefits offered through the\ncommunication medium or motivated by community members. Attention was drawn to\ntechnical and practical considerations that focused on enhancing the social experience\nand supporting overall well-being.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".